08 · Sales · real estate

Enterprise ABM & Sales Material for Real Estate & Luxury

Outreach, pitch decks, proposals, landings and hyper-personalised material generated with internal AI systems.

Industry focus

Real Estate & Luxury

For companies competing for international clients, high-value local search and brand authority across premium markets.

Focus areas

BrokersDevelopersProperty mgmtInvestmentBranded residences

How this plays here

What this engagement
actually does for this buyer.

A premium real-estate agency's enterprise pipeline (corporate relocations, family offices, institutional buyers) runs on personal relationships and undifferentiated decks. Enterprise ABM & Sales Material rebuilds the material per account: per-prospect pitch decks generated against their portfolio, market context and stated criteria; tailored landing pages per buyer profile (family office, fund, ultra-HNW individual); outreach sequences anchored on AI-presence audit findings per segment. The work scales the principal's judgment without templating.

Buyer prompts

The questions they're
asking right now.

Prompt 01

“best agencies for institutional family offices buying premium Spanish real estate”

Prompt 02

“real estate broker for a corporate relocation moving 30 senior staff to Madrid”

Prompt 03

“ultra-HNW property advisor for buying in Mallorca and Marbella”

Priorities

What matters
in this industry.

01
Surface in international buyer queries
Show up in 'best places to invest in Mallorca', 'moving to Madrid', 'reputable agencies in Y country' — the searches premium buyers run before contacting anyone.
02
Own premium-market authority
Buyers comparing million-euro listings expect a brand that AI has seen in Forbes, Business Insider or Architectural Digest — not just on its own website.
03
Win the local + global match
AI cross-references the city, the neighborhood, the school district, the legal process. Brands that own the location entity also own the buyer.

Buyer journey

How buyers
actually research.

International buyers research properties in cities they may have never visited, often in a language that isn't theirs. They ask AI 'is X neighborhood good for families', 'what's the buying process in Y', 'who are the trusted agencies in Z'. AI summarizes from public information, broker websites, press, and reviews. If the summary doesn't include your name, you're invisible to a buyer with an eight-figure budget.

Trust signals

What AI engines
are reading.

01
Authority on locations: city guides, neighborhood pages, school and transit data
02
Reviews and press in real-estate publications, plus international media
03
RealEstateAgent, Place and Residence schema with consistent NAP and listings
04
Multilingual presence — one brand, one entity, every language a buyer thinks in

Deliverables

What you get
specifically here.

01
Per-account pitch deck library generated against portfolio, market context and stated criteria
02
Buyer-profile landing pages (family office, fund, ultra-HNW) with audit-aligned positioning
03
AI-personalised outreach sequences referencing named-segment audit findings per prospect

Sources we tune for

Where the citations
actually come from.

Knight FrankSotheby's International RealtyMansion Global (WSJ)Architectural DigestForbes Real Estate

Multilingual shape

International buyers in this vertical research in their own language. Hitting parity across the 3-5 languages that actually buy isn't a translation pass — it's its own entity, source-pool and citation-rate workstream per market.

Service context

How this engagement
fits the sector.

08 · Sales